ϕ-Divergence in Contingency Table Analysis

Abstract

The ϕ -divergence association models for two-way contingency tables is a family of models that includes the association and correlation models as special cases. We present this family of models, discussing its features and demonstrating the role of ϕ -divergence in building this family. The most parsimonious member of this family, the model of ϕ -scaled uniform local association, is considered in detail. It is implemented and representative examples are commented on.

Keywords

• log-linear models
• ordinal classification variables
• association models
• correlation models